MONITORING OF WATER BODIES AND RECLAIMED LANDS AFFECTED BY WARFARE USING SATELLITE DATA
Keywords:
water bodies, reclaimed lands, military actions, satellite images, spectral indices, level of damages
Abstract
The paper presents the results of monitoring the state of water bodies and reclaimed lands affected by warfare using remote sensing methods and in-situ surveys. On the example of the flooding of the floodplain of the Irpin river by the waters of the Kyiv reservoir as a result of the destruction of the culvert structure, as well as the flooding of the floodplain of the Dnipro river near village Otradokamyanka after the explosion of the Kakhovska hydro power plant (HPP), the change in the area of inundation was calculated based on spectral index maps and surface classification using Sentinel-2 L2A imagery. On the base of Sentinel-2 L2A images, maps of SAVI and NDWI indices were obtained. They revealed the places of soil cover by sediments and the increase of the area of water bodies. Monitoring of reclaimed lands affected by warfare was carried out in the floodplain of the Irpin river on the Irpin Drainage and Moistening System during three time intervals: before the war in 2019; during the fighting in the spring of 2022 and a year after the end of military actions. Studies have shown a significant prevalence of waterlogged areas in the present time, which confirms the destruction of drainage network.
The calculated values of the NDVI index turned out to be too high for agricultural crops, which indicates that the lands is overgrown with shrubs. Based on the results of the conducted monitoring, the territory was classified according to the degree of its damage by shell craters. Based on the results of the studies, it is recommended to monitor water bodies and reclaimed lands that have been affected by the war using images of different spatial resolution, a complex of spectral indices, a combination of image bands and in-situ surveys.
References
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2. Yatseno, O. (2022). Strilets: The destruction of the Irpin dam caused enormous damage to the environment. https://ecopolitic.com.ua/ Retrieved from:
https://ecopolitic.com.ua/en/news/rujnuvannya-irpinskoi-dambi-zavdalo-kolosalnoi-shkodi-dovkillju-strilec-3/
3. Button, H. (2023). FEWS NET Scientists: Entire Ukraine Canal System Vital for Farm Irrigation ‘Dried Up’ After Dam Breach. https://agrilinks.org/ Retrieved from: https://agrilinks.org/post/fews-net-scientists-entire-ukraine-canal-system-vital-farm-irrigation-dried-after-dam-breach
4. Vyshnevskyi ,V., Shevchuk, S., Komorin, V., Oleynik, Y., Gleick, P. (2023) The destruction of the Kakhovka dam and its consequences. Water international, (5), 631-647. DOI: https://doi.org/10.1080/02508060.2023.2247679.
5. Khilchevskyi, V.K., & Hrebin, V.V. (2022). Some aspects regarding the state of the territory of the river basins districts and water monitoring during Russia’s invasion of Ukraine [Deiaki aspekty shchodo stanu terytorii raioniv richkovykh baseiniv ta monitorynhu vod pid chas vtorhnennia Rosii v Ukrainu]. Hidrolohiia, hidrokhimiia i hidroekolohiia [Hydrology, Hydrochemistry and Hydroecology], 3(65), 6-14. DOI: https://doi.org/10.17721/2306-5680.2022.3.1
6. Shevchuk, S., Vyshnevskyi, V., & Bilous, O. (2022). The use of remote sensing data that is studying the environmental consequences of the Russian invasion of Ukraine. Available at: https://www.researchsquare.com/article/rs-1770802/latest.pdf.
DOI: https://doi.org/10.21203/rs.3.rs-1770802/v1
7. Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010 Text with EEA relevance (OJ L 122 24.04.2014, p. 44, URL: http://data.europa.eu/eli/reg/2014/377/oj).
8. Guo, Q., Pu, R., Li, J. ,& Cheng, J. (2017). A weighted normalized difference water index for water extraction using Landsat imagery. International Journal of Remote Sensing, 38 (19), 5430–5445. Retrieved from: http://dx.doi.org/10.1080/01431161.2017.1341667.
9. Acharya, T.D., Subedi, A., & Lee, D.H. (2018) Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal. Sensors, 18, 2580. Retrieved from: https://doi.org/10.3390/s18082580.
10. Sentinel. (2022). Sentinel-2 MSI User Guide. https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi.
11. Mendes, F., & Valansky, I. (2020). Assessment of ecological armed conflict using satellite images. J. Environ. Geogr. 13 (3–4), 1–14.
12. Singha, M., Dong, J., Sarmah, S., You, N., Zhou, Y., Zhang, G., Doughty, R., & Xiao, X. (2020). Identification of flood and flood-affected rice fields in Bangladesh based on Sentinel-1 and Google Earth Engine images. ISPRS J. Photogramm. Remote. Sens., 166, 278–293. Retrieved from: https://doi.org/10.1016/j.isprsjprs.2020.06.011.
13. Nandika, M. R., Ulfa, A., Ibrahim, A., & Purwanto, A. D. (2023). Assessing the Shallow Water Habitat Mapping Extracted from High-Resolution Satellite Image with Multi Classification Algorithms. Geomatics and Environmental Engineering, 17(2), 69–87. DOI: https://doi.org/10.7494/geom.2023.17.2.69
14. Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27:14, 3025-3033, DOI: 10.1080/01431160600589179
15. Vyshnevskyi, V.I., & Shevchuk, S.A. (2018). Use of remote sensing data for the researches of water objects of Ukraine [Vykoristannia danykh distantsiinoho zonduvannia Zemli v doslidzhenniakh vodnykh obiektiv Ukrainy]. Kyiv : Interpress LTD. [in Ukrainian].
16. Shevchuk, S. A., Vyshnevskyi, V. I., Shevchenko, I. A., & Kozytskyi, O. M. (2019). Doslidzhennia vodnykh obiektiv Ukrainy z vykorystanniam danykh dystantsiinoho zonduvannia Zemli [Research of water bodies of Ukraine using data of remote sensing of the Earth]. Melioratsiia i vodne hospodarstvo, 2, 146-156. http://nbuv.gov.ua/UJRN/Mivg_2019_2_18. [in Ukrainian].
17. Babiichuk, S. M., Yurkiv, L. Ya Tomchenko, O. V., & Kuchma, T. L. (2020). Osnovy dystantsiinoho zonduvannia Zemli: robochyi zoshyt. Chastyna 1. [Fundamentals of remote sensing of the Earth: workbook. Part 1]. Natsionalnyi tsentr Mala akademiia nauk Ukrainy, Kyiv, 122. https://api.man.gov.ua/api/assets/man/771e9a71-3cae-4926-bea0-75e74b7291ef)
[in Ukrainian].
18. Vlasova, O.V., & Shatkovska, K. V. (2018). Metodychni zasady kompensatsii suputnykovoi i nazemnoi informatsii v ekoloho-melioratyvnomu monitorynhu ahrolandshaftiv [Methodological principles of compensation of satellite and terrestrial information in ecological and remedial monitoring of agricultural landscapes]. Scientific Bulletin, Achronomia Series, 286, 320-328. [in Ukrainian].
19. Vlasova, O.V. (2018). Osnovy teorii vzaiemozaminnosti suputnykovoi ta nazemnoi informatsii v ekoloho-melioratyvnomu monitorynhu – [Fundamentals of the theory of interchangeability of satellite and terrestrial information in ecological and remedial monitoring]. Bioresources and nature use, 10, 3-4. [in Ukrainian].
20. McFeeters, S.K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17, 1425–1432. [CrossRef]
21. Li, J., Ma, R., Cao, Z., Xue, K., Xiong, J., Hu, M., & Feng, X.(2022). Satellite detection of surface water extent: A review of methodology. Water, 14, 7, 1-18. https://www.mdpi.com/2073-4441/14/7/1148.
22. Serban, C., Maftei, C., & Dobrica, G. (2022). Surface Water Change Detection via Water Indices and Predictive Modeling Using Remote Sensing Imagery: A Case Study of Nuntasi-Tuzla Lake, Romania. Water (Switzerland), 14 (4), 556. Retrieved from: https://doi.org/10.3390/w14040556.
23. Belba, P., Kucaj, S., & Thanas, J. (2022). Monitoring of Water Bodies and Non-vegetated Areas in Selenica – Albania with Sar and Optical Images. Geomatics and Environmental Engineering, 16 (3), 5–25. Retrieved from: https://doi.org/10.7494/geom.2022.16.3.5.
24. Pichura, V.I., & Potravka, L.O. Metodolohiia prostorovo-chasovoi otsinky stanu ekosystemy baseiniv richok i orhanizatsii ratsionalnoho pryrodokorystuvannia [Methodology of spatio-temporal assessment of the state of the ecosystem of river basins and the organization of rational nature management]. Vodni bioresursy ta akvakultura. Kherson. 2019. 2. 144-174. [in Ukrainian]
25. Palamarchuk, M.M., & Zakorchevna, N.B. (2001). Vodnyi fond Ukrainy: Dovidkovyi posibnyk [Water Fund of Ukraine: Reference manual]. Kyiv: Nika-Tsentr. 392. [in Ukrainian].
Published
2023-12-26
How to Cite
Vlasova, O., Shevchenko, A., Shevchenko, I., & Kozytsky, O. (2023). MONITORING OF WATER BODIES AND RECLAIMED LANDS AFFECTED BY WARFARE USING SATELLITE DATA. Land Reclamation and Water Management, (2), 59 - 68. https://doi.org/10.31073/mivg202302-371
Section
Articles
